COUNTERFEIT WARNING FOR US/CANADIAN/EUROPEAN CUSTOMERS: Do NOT buy Used books - there is a 90% chance the 3rd party is selling a pirated books filled with typos, missing SQL questions, and poor print quality. Only buy NEW, and make sure it says "Ships From & Sold By Amazon" to get the official copy.

Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Science, Data Analyst, and Machine Learning interviews, so that you can land your dream job at FAANG, tech startups, or Wall Street.

What's inside this 301 page book?

• 201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Two Sigma, Citadel and more — with detailed step-by-step solutions!
• Learn how to break into Data Science, with tips on crafting your resume, creating kick-ass portfolio projects, sending networking cold emails, and better telling your story during behavioral interviews
• Questions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B Testing
• Each chapter has a brief crash-course on the most important concepts and formulas to review
• Learn how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from Airbnb, Instagram, & Accenture

Praise for Ace the Data Science Interview:

"The advice in this book directly helped me land my dream job"

— Advitya Gemawat, ML Engineer, Microsoft

“An invaluable resource for the Data Science & ML community”

— Aishwarya Srinivasan, Senior Data Scientist, Google

"Super helpful career advice on breaking into data & landing your first job in the field"

— Prithika Hariharan, President of Waterloo Data Science Club; Data Science Intern, Wish

“FINALLY! Cracking the Coding Interview but for Data Science & ML!”

— Jack Morris, AI Resident, Google

“Solving the 201 interview questions is helpful for people in ALL industries, not just tech!”

— Lars Hulstaert, Senior Data Scientist, Johnson & Johnson

“The authors explain exactly what hiring managers look for — a must read for any data job seeker”

— Michelle Scarbrough, Former Data Analytics Manager, F500 Co.


About Kevin Huo:

Kevin Huo is currently a Data Scientist at a Hedge Fund, and previously was a Data Scientist at Facebook working on Facebook Groups. He holds a degree in Computer Science from the University of Pennsylvania and a degree in Business from Wharton. In college he interned at Facebook, Bloomberg, and on Wall Street.

About Nick Singh:
Nick Singh previously worked on Facebook’s Growth Team and at SafeGraph, a geospatial analytics startup. Currently, he runs SQL interview platform DataLemur.com and shares career tips on LinkedIn to his 120,000+ followers. Nick holds a degree in System Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at Microsoft and at Google’s Nest Labs on the Data Infrastructure Team.